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Home >> Publications >> Parametric mixture models to evaluate and summarize hazard ratios in the presence of competing risks with time-dependent hazards and delayed entry.

Publication

Author(s):

Lau B, Cole SR, Gange SJ.

Pub Title:

Parametric mixture models to evaluate and summarize hazard ratios in the presence of competing risks with time-dependent hazards and delayed entry.

Pub Date:

Mar 15 2011

Journal Issue:

6

Page Number:
654-65

Journal:

Title: 
Statistics in Medicine
Link: 
http://onlinelibrary.wiley.com/doi/10.1002/sim.4123/abstract

PubMed: 21337360
Pub PDF: PDF icon 21337360.pdf
Abstract
In the analysis of survival data, there are often competing events that preclude an event of interest from occurring. Regression analysis with competing risks is typically undertaken using a cause-specific proportional hazards model. However, modern alternative methods exist for the analysis of the subdistribution hazard with a corresponding subdistribution proportional hazards model. In this paper, we introduce a flexible parametric mixture model as a unifying method to obtain estimates of the cause-specific and subdistribution hazards and hazard-ratio functions. We describe how these estimates can be summarized over time to give a single number comparable to the hazard ratio that is obtained from a corresponding cause-specific or subdistribution proportional hazards model. An application to the Women's Interagency HIV Study is provided to investigate injection drug use and the time to either the initiation of effective antiretroviral therapy, or clinical disease progression as a competing event.

Copyright © 2010 John Wiley & Sons, Ltd.

PMID: 21337360 [PubMed - indexed for MEDLINE]

PMCID: PMC3069508

 

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Citation:

Lau B, Cole SR, Gange SJ. Parametric mixture models to evaluate and summarize hazard ratios in the presence of competing risks with time-dependent hazards and delayed entry. Stat Med. 2011 Mar 15;30(6):654-65. doi: 10.1002/sim.4123. Epub 2010 Nov 30. Erratum in: Stat Med. 2012 Jul 20;31(16):1777-8. PubMed PMID: 21337360; PubMed Central PMCID: PMC3069508.